PolyQ

PolyQ catalogs human protein sequences containing polyglutamine (polyQ) tracts to enable investigation of sequence-context effects on aggregation and the molecular mechanisms of polyglutamine diseases.


Key Features:

  • Comprehensive Sequence Collection: Compiles human protein sequences that contain runs of seven or more glutamine residues.
  • Annotated Domain Information: Provides detailed domain annotations for each sequence to define the structural and functional context of polyQ tracts.
  • Contextual Sequence Querying: Enables interrogation of sequences based on repeat tract location and host protein architecture to assess context-dependent properties.
  • Support for Bioinformatic Analysis: Supplies annotated datasets intended for computational analysis of aggregation propensity and sequence–context relationships relevant to polyglutamine disorders.

Scientific Applications:

  • Disease mechanism investigation: Facilitates study of polyglutamine diseases such as Huntington's disease and certain spinocerebellar ataxias by linking polyQ tracts to host protein context.
  • Aggregation propensity analysis: Enables examination of how domain architecture, repeat tract location, and host protein properties influence aggregation into β-sheet rich structures and neuronal toxicity.
  • Therapeutic target discovery: Informs identification of sequence-context features that may be targeted to mitigate or prevent toxic aggregation in polyQ disorders.

Methodology:

Systematic collection and annotation of human protein sequences containing significant polyglutamine tracts with emphasis on domain architecture and repeat tract location to support bioinformatic analysis.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
PHP
Added:
3/27/2017
Last Updated:
12/10/2018

Operations

Data Inputs & Outputs

Publications

Robertson AL, et al. PolyQ: a database describing the sequence and domain context of polyglutamine repeats in proteins. Nucleic Acids Res. 2011; 39:D272-6. doi: 10.1093/nar/gkq1100

PMID: 21059684

Documentation